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aliran tensor:: operasi:: DekodeGif
#include <image_ops.h> Dekode bingkai gambar berkode GIF ke tensor uint8.
Ringkasan
Gambar GIF dengan kompresi bingkai atau transparansi tidak didukung. Pada sistem Linux dan MacOS, ubah GIF animasi dari terkompresi menjadi tidak terkompresi dengan menjalankan:
convert $src.gif -coalesce $dst.gif
Operasi ini juga mendukung decoding JPEG dan PNG, meskipun lebih bersih menggunakan tf.image.decode_image .
Argumen:
- ruang lingkup: Objek Lingkup
- isi: 0-D. Gambar berkode GIF.
Pengembalian:
-
Output : 4-D dengan bentuk [num_frames, height, width, 3] . Urutan saluran RGB.
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::DecodeGif Class Reference\n\ntensorflow::ops::DecodeGif\n==========================\n\n`#include \u003cimage_ops.h\u003e`\n\nDecode the frame(s) of a GIF-encoded image to a uint8 tensor.\n\nSummary\n-------\n\nGIF images with frame or transparency compression are not supported. On Linux and MacOS systems, convert animated GIFs from compressed to uncompressed by running: \n\n```text\nconvert $src.gif -coalesce $dst.gif\n```\n\n\u003cbr /\u003e\n\nThis op also supports decoding JPEGs and PNGs, though it is cleaner to use `tf.image.decode_image`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- contents: 0-D. The GIF-encoded image.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 4-D with shape `[num_frames, height, width, 3]`. RGB channel order.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DecodeGif](#classtensorflow_1_1ops_1_1_decode_gif_1ab8423cf80c3c768f78ee1ef985638c7f)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` contents)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [image](#classtensorflow_1_1ops_1_1_decode_gif_1a93c7d6f69c8b6e611635f88f1cf2bcd2) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_decode_gif_1ad61387b03e35b009466e71ba27fb1e79) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_decode_gif_1a2a2838eff458630e33d4e7f98fdb0a87)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_decode_gif_1a66486826f8ac922a28aa67df6605c508)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_decode_gif_1aeb51deab9ea7005cafb1582da6787efe)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### image\n\n```text\n::tensorflow::Output image\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### DecodeGif\n\n```gdscript\n DecodeGif(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input contents\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
